Mingze Wang
14 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29) π Grand Slam π Renaissance Researcher (6)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(11)
Deep Learning
(8)
Artificial Intelligence
(5)
Core AI
(5)
Optimization & Theory Β· Deep Learning
(5)
Architectures
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Techniques
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
stochastic gradient descent
(5)
neural network optimization
(4)
sharpness-aware minimization
(3)
learning dynamics
(3)
neural network
(2)
implicit regularization
(2)
flat minima
(2)
information bottleneck
(1)
text classification
(1)
neural tangent kernel
(1)
theoretical analysis
(1)
neural network theory
(1)
stability analysis
(1)
label noise
(1)
hessian matrix
(1)
spectral norm
(1)
convergence
(1)
global convergence
(1)
reward function
(1)
margin maximization
(1)
Papers
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
AAAI 2026
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
AAAI 2026
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
ICLR 2025
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
ICML 2025
Tunable LLM-based Proactive Recommendation Agent
ACL 2025
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
ICML 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
ACL 2024
Improving Generalization and Convergence by Enhancing Implicit Regularization
NeurIPS 2024
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement
ICML 2024
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
NeurIPS 2024
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
NeurIPS 2024
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks
NeurIPS 2023
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
NeurIPS 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NeurIPS 2022